Danish Khan
About Danish Khan
Danish Khan is a Data Science Intern at The Cincinnati Insurance Companies, where he has worked since 2022. He holds a Master of Science in Data Science from the University of Rochester and has experience in analyzing logbook data to identify mechanical defect trends.
Work at The Cincinnati Insurance Companies
Danish Khan has been employed as a Data Science Intern at The Cincinnati Insurance Companies since 2022. In this role, he contributes to data analysis and modeling projects aimed at enhancing operational efficiency. His work involves applying data science techniques to support decision-making processes within the organization. The Cincinnati Insurance Companies is located in Fairfield, Ohio, and is known for its focus on providing insurance solutions.
Education and Expertise
Danish Khan holds a Master of Science in Data Science from the University of Rochester, where he studied from 2021 to 2022. Prior to this, he earned a Bachelor of Engineering in Electronics and Communications Engineering from Pune Institute of Computer Technology, completing his studies from 2017 to 2021. His foundational education includes a 12th HSC in Computer Science from Gopalan PU College and a 10th ICSE from Ryan International School in India.
Background
Danish Khan's educational journey began at Ryan International School in India, where he completed his 10th ICSE from 2005 to 2015. He then attended Gopalan PU College for his 12th HSC in Computer Science from 2015 to 2017. Following this, he pursued a Bachelor of Engineering in Electronics and Communications Engineering at Pune Institute of Computer Technology, graduating in 2021. He later advanced his studies with a Master of Science in Data Science at the University of Rochester, completing the program in 2022.
Previous Work Experience
Before joining The Cincinnati Insurance Companies, Danish Khan gained experience as a Graduate Research Assistant at The Institute of Optics in Rochester, New York, for four months in 2022. He also served as a Graduate Teaching Assistant at the University of Rochester - Simon Business School for two months in the same year. In these roles, he engaged in research and academic support, further developing his skills in data analysis and teaching.
Research and Development Contributions
Danish Khan has developed a method for clustering common logbook data, which aids in capturing initial failure trend analysis. He has also analyzed aircraft logbook data to identify long-term mechanical defect trends, contributing to improved fleet operational performance. These projects demonstrate his ability to apply data science methodologies to real-world problems in the aviation sector.